The study of automatic machine learning base on radiomics of non-focus area in the first chest CT of different clinical types of COVID-19 pneumonia

To explore the possibility of predicting the clinical types of Corona-Virus-Disease-2019 (COVID-19) pneumonia by analyzing the non-focus area of the lung in the first chest CT image of patients with COVID-19 by using automatic machine learning (Auto-ML). 136 moderate and 83 severe patients were sele...

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Detalles Bibliográficos
Autores principales: Tan, Hui-Bin, Xiong, Fei, Jiang, Yuan-Liang, Huang, Wen-Cai, Wang, Ye, Li, Han-Han, You, Tao, Fu, Ting-Ting, Lu, Ran, Peng, Bi-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641115/
https://www.ncbi.nlm.nih.gov/pubmed/33144676
http://dx.doi.org/10.1038/s41598-020-76141-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641115/
https://www.ncbi.nlm.nih.gov/pubmed/33144676
http://dx.doi.org/10.1038/s41598-020-76141-y

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